Odor Classification using Agent Technology
In order to measure and classify odors, Quartz Crystal Microbalance (QCM) can be used. In the present study, seven QCM sensors and three different odors are used. The system has been developed as a virtual organization of agents using an agent platform called PANGEA (Platform for Automatic coNstruct...
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| Vydané v: | Advances in distributed computing and artificial intelligence journal Ročník 2; číslo 4; s. 41 - 48 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Salamanca
Ediciones Universidad de Salamanca
10.03.2014
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| ISSN: | 2255-2863, 2255-2863 |
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| Abstract | In order to measure and classify odors, Quartz Crystal Microbalance (QCM) can be used. In the present study, seven QCM sensors and three different odors are used. The system has been developed as a virtual organization of agents using an agent platform called PANGEA (Platform for Automatic coNstruction of orGanizations of intElligent Agents). This is a platform for developing open multi-agent systems, specifically those including organizational aspects. The main reason for the use of agents is the scalability of the platform, i.e. the way in which it models the services. The system models functionalities as services inside the agents, or as Service Oriented Approach (SOA) architecture compliant services using Web Services. This way the adaptation of the odor classification systems with new algorithms, tools and classification techniques is allowed. |
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| AbstractList | In order to measure and classify odors, Quartz Crystal Microbalance (QCM) can be used. In the present study, seven QCM sensors and three different odors are used. The system has been developed as a virtual organization of agents using an agent platform called PANGEA (Platform for Automatic coNstruction of orGanizations of intElligent Agents). This is a platform for developing open multi-agent systems, specifically those including organizational aspects. The main reason for the use of agents is the scalability of the platform, i.e. the way in which it models the services. The system models functionalities as services inside the agents, or as Service Oriented Approach (SOA) architecture compliant services using Web Services. This way the adaptation of the odor classification systems with new algorithms, tools and classification techniques is allowed. |
| Author | Wada, Tatsuyuki Omatu, Sigeru Chamoso, Pablo |
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| Copyright | Copyright © 2013. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/3.0/es/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.14201/ADECAIJ2013174148 |
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| SubjectTerms | Classification Computer architecture Intelligent agents multi-agent system Multiagent systems odor classification odor sensing Odors Organizational aspects qcm sensor Virtual organization Web services |
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| Title | Odor Classification using Agent Technology |
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